ViT-based skin cancer detection with diffusion-augmented dermoscopic images

Bibliographische Detailangaben
Hauptverfasser:	Maceda, Westin Darren T. (VerfasserIn), Yap, Jela May B. (VerfasserIn)
Weitere Verfasser:	Naval, Prospero C. Jr (adviser.), Raquel, Carlo R. (adviser.)
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Quezon City College of Engineering, University of the Philippines Diliman 2025.
Schlagworte:	Deep learning (Machine learning) Melanoma. Vision Transformers (ViT). Diffusion-Based Data Augmentation (DDA). International Skin Imaging Collaboration (ISIC).
Online Zugang:	Abstract